Cyprus Posts Third Highest GDP Surge in Q2 2025: Employment and Productivity on the Rise

by THEFUTURE.TEAM

September 9, 2025

Strong Economic Momentum in Cyprus

In the second quarter of 2025, Cyprus recorded a 3.3 percent increase in its gross domestic product, securing the position of the third highest GDP growth rate within the European Union. This performance comes on the heels of Ireland’s impressive 18 percent surge and Bulgaria’s 3.4 percent rise, underscoring Cyprus’ robust economic advancement despite a modest 0.5 percent increase from the previous quarter.

Comparative Analysis Within the European Union

Eurostat’s data reveals a broader picture of economic strides across the EU. Seasonally adjusted GDP growth reached 1.5 percent in the eurozone and 1.6 percent in the EU overall compared to the same quarter in 2024. Furthermore, modest quarter-on-quarter gains of 0.1 percent in the eurozone and 0.2 percent in the EU highlight the region’s gradual recovery following stronger quarterly performances earlier in the year.

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Advancements in Employment Metrics

Equally noteworthy is the rise in employment figures within Cyprus, where the nation marked the fifth largest increase in the EU. Employment expanded by 1.8 percent year-on-year and showed a 0.5 percent growth from the previous quarter. This dual expansion in GDP and employment serves as a key indicator of rising labour productivity and economic resilience across the region.

Labour Productivity Improvements

Labour productivity experienced upward momentum, with per capita productivity increasing by 0.8 percent in the eurozone and 1.2 percent across the EU compared to the same period in 2024. Additionally, productivity measured in terms of hours worked surged by 1.1 percent in the eurozone and 1.5 percent in the EU. Cyprus, in particular, showcased a robust 2.2 percent year-on-year productivity gain based on hours worked, ranking third in the EU, although it witnessed a slight 0.2 percent dip from the previous quarter.

Global Benchmarks and Strategic Implications

On a global scale, these developments are mirrored by trends such as the United States’ 2.1 percent year-on-year GDP growth, emphasizing the competitive landscape and underlying shifts in economic performance. The combined figures on GDP and employment not only highlight shifts in regional productivity but also provide crucial insights for policymakers and business leaders aiming to navigate the evolving economic environment.

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Copyright Law Struggles To Keep Up With AI Training

by News Editor

August 24, 2026

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

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Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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